{"total":63,"rows":[{"id":"2503.02453","title":"Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations","created":"2025-03-04","cited_by_count":35,"area":null},{"id":"2506.21579","title":"LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation","created":"2025-06-16","cited_by_count":19,"area":null},{"id":"2510.24431","title":"MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation","created":"2025-10-28","cited_by_count":17,"area":null},{"id":"2505.16994","title":"R$^2$ec: Towards Large Recommender Models with Reasoning","created":"2025-05-22","cited_by_count":13,"area":"lr"},{"id":"2507.16289","title":"Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders","created":"2025-07-22","cited_by_count":12,"area":null},{"id":"2412.13432","title":"Large Language Model Enhanced Recommender Systems: A Survey","created":"2024-12-18","cited_by_count":10,"area":null},{"id":"2502.13845","title":"Improving LLM-powered Recommendations with Personalized Information","created":"2025-02-19","cited_by_count":10,"area":"lr"},{"id":"2412.18176","title":"Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation","created":"2024-12-24","cited_by_count":7,"area":"mllm"},{"id":"2508.11977","title":"TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios","created":"2025-08-16","cited_by_count":5,"area":null},{"id":"2601.20083","title":"LLaTTE: Scaling Laws for Multi-Stage Sequence Modeling in Large-Scale Ads Recommendation","created":"2026-01-27","cited_by_count":5,"area":null},{"id":"2502.03041","title":"Large Language Model as Universal Retriever in Industrial-Scale Recommender System","created":"2025-02-05","cited_by_count":4,"area":null},{"id":"2505.14057","title":"Field Matters: A Lightweight LLM-enhanced Method for CTR Prediction","created":"2025-05-20","cited_by_count":4,"area":null},{"id":"2510.10102","title":"PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling","created":"2025-10-11","cited_by_count":4,"area":null},{"id":"2502.10157","title":"SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation","created":"2025-02-14","cited_by_count":3,"area":null},{"id":"2504.11889","title":"Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration","created":"2025-04-16","cited_by_count":3,"area":"lr"},{"id":"2507.06507","title":"GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models","created":"2025-07-09","cited_by_count":3,"area":"lr"},{"id":"2508.18118","title":"HLLM-Creator: Hierarchical LLM-based Personalized Creative Generation","created":"2025-08-25","cited_by_count":3,"area":null},{"id":"2510.14686","title":"xLLM Technical Report","created":"2025-10-16","cited_by_count":3,"area":"inference"},{"id":"2511.10492","title":"Don't Waste It: Guiding Generative Recommenders with Structured Human Priors via Multi-Head Decoding","created":"2025-11-13","cited_by_count":3,"area":null},{"id":"2511.12081","title":"From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction","created":"2025-11-15","cited_by_count":3,"area":"lr"},{"id":"2602.10445","title":"End-to-End Semantic ID Generation for Generative Advertisement Recommendation","created":"2026-02-11","cited_by_count":3,"area":null},{"id":"2505.10940","title":"Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation","created":"2025-05-16","cited_by_count":2,"area":null},{"id":"2508.16126","title":"Spacetime-GR: A Spacetime-Aware Generative Model for Large Scale Online POI Recommendation","created":"2025-08-22","cited_by_count":2,"area":null},{"id":"2509.21777","title":"SynerGen: Contextualized Generative Recommender for Unified Search and Recommendation","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2601.01712","title":"RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2601.04562","title":"Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI Recommendation","created":"2026-01-08","cited_by_count":2,"area":"lr"},{"id":"2603.00416","title":"MuonRec: Shifting the Optimizer Paradigm Beyond Adam in Scalable Generative Recommendation","created":"2026-02-28","cited_by_count":2,"area":null},{"id":"2603.22779","title":"KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao","created":"2026-03-24","cited_by_count":2,"area":null},{"id":"2604.22881","title":"MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches","created":"2026-04-24","cited_by_count":2,"area":null},{"id":"2508.00956","title":"FOUNDv2: Learning Unified User Quantized Tokenizers for User Representation","created":"2025-08-01","cited_by_count":1,"area":null},{"id":"2511.21095","title":"Target-Aware Early Stage Ranking","created":"2025-11-26","cited_by_count":1,"area":null},{"id":"2512.07846","title":"MixLM: High-Throughput and Effective LLM Ranking via Text-Embedding Mix-Interaction","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2512.20916","title":"MMSRARec: Summarization and Retrieval Augumented Sequential Recommendation Based on Multimodal Large Language Model","created":"2025-12-24","cited_by_count":1,"area":"mllm"},{"id":"2601.03479","title":"Efficient Sequential Recommendation for Long Term User Interest Via Personalization","created":"2026-01-07","cited_by_count":1,"area":null},{"id":"2601.15930","title":"MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging","created":"2026-01-22","cited_by_count":1,"area":null},{"id":"2602.07309","title":"Semantic Search At LinkedIn","created":"2026-02-07","cited_by_count":1,"area":null},{"id":"2609.12270","title":"Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendations","created":"2026-09-10","cited_by_count":1,"area":null},{"id":"2609.30576","title":"T-RoPE: Time-Aware Rotary Position Embedding for Sequential Recommendation","created":"2026-09-24","cited_by_count":1,"area":null},{"id":"2412.06308","title":"PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information","created":"2024-12-09","cited_by_count":0,"area":null},{"id":"2502.03417","title":"From Features to Transformers: Redefining Ranking for Scalable Impact","created":"2025-02-05","cited_by_count":0,"area":null},{"id":"2504.07398","title":"A Novel Mamba-based Sequential Recommendation Method","created":"2025-04-10","cited_by_count":0,"area":"ssm"},{"id":"2504.11658","title":"Improving LLM Interpretability and Performance via Guided Embedding Refinement for Sequential Recommendation","created":"2025-04-15","cited_by_count":0,"area":null},{"id":"2505.16227","title":"Explain Less, Understand More: Data-Efficient Personalization of Reader-Dependent Jargons","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2506.01704","title":"Generate, Not Recommend: Personalized Multimodal Content Generation","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2506.14231","title":"ImpReSS: Implicit Recommender System for Support Conversations","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2508.17754","title":"DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou","created":"2025-08-25","cited_by_count":0,"area":null},{"id":"2510.14788","title":"Cross-Scenario Unified Modeling of User Interests at Billion Scale","created":"2025-10-16","cited_by_count":0,"area":null},{"id":"2601.16556","title":"PRISM: Purified Representation and Integrated Semantic Modeling for Generative Sequential Recommendation","created":"2026-01-23","cited_by_count":0,"area":null},{"id":"2602.01865","title":"GRAB: An LLM-Inspired Sequence-First Click-Through Rate Prediction Modeling Paradigm","created":"2026-02-02","cited_by_count":0,"area":null},{"id":"2602.07298","title":"Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation","created":"2026-02-07","cited_by_count":0,"area":"synth"},{"id":"2602.12968","title":"RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems","created":"2026-02-13","cited_by_count":0,"area":"lr"},{"id":"2603.19710","title":"AIGQ: An End-to-End Hybrid Generative Architecture for E-commerce Query Recommendation","created":"2026-03-20","cited_by_count":0,"area":null},{"id":"2604.14051","title":"Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model","created":"2026-04-15","cited_by_count":0,"area":"lr"},{"id":"2604.20861","title":"Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2604.22180","title":"ResRank: Unifying Retrieval and Listwise Reranking via End-to-End Joint Training with Residual Passage Compression","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2604.24472","title":"Modeling Behavioral Intensity and Transitions for Generative Recommendation","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2605.07129","title":"RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation","created":"2026-05-08","cited_by_count":0,"area":"lr"},{"id":"2606.27684","title":"Intuition-Guided Latent Reasoning for LLM-Based Recommendation","created":"2026-06-26","cited_by_count":0,"area":"lr"},{"id":"2607.24025","title":"SpecFormer: Mitigating Embedding and Attention Collapse via Spectral-Aware Transformer for Recommendation","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2607.28019","title":"Building a User Foundation Model for the Open Web","created":"2026-07-30","cited_by_count":0,"area":null},{"id":"2607.29213","title":"GALA: Generative Aligned Learning for Adaptive Multimodal Representation in the Taobao Shangou Recommender System","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.09605","title":"TSPORec: Token Selection via Preference Optimization for LLM-Based Sequential Recommendation","created":"2026-08-10","cited_by_count":0,"area":"alignment"},{"id":"2609.29180","title":"X-Rec Technical Report","created":"2026-09-24","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}